Ustun, Berk

Actionable Recourse in Linear Classification

Ustun, B., Spangher, A., & Liu, Y. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 501

The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5

Ustun, B., Adler, L. A., Rudin, C., Faraone, S. V., Spencer, T. J., Berglund, P., Gruber, M. J., & Kessler, R. C. (2017) · JAMA Psychiatry

Attention Deficit Hyperactivity DisorderHistorical and Modern Theater Studies

Cited by 423

Interpretable classification models for recidivism prediction

Zeng, J., Ustun, B., & Rudin, C. (2017) · Journal of the Royal Statistical Society Series A: Statistics in Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 220

Developing an optimal short-form of the PTSD Checklist for DSM-5 (PCL-5)

Zuromski, K. L., Ustun, B., Hwang, I., Keane, T. M., Marx, B. P., Stein, M. B., Ursano, R. J., & Kessler, R. C. (2019) · Depression and Anxiety

Posttraumatic Stress Disorder ResearchPsychometric Methodologies and Testing

Cited by 206

Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms

Ustun, B., Westover, M. B., Rudin, C., & Bianchi, M. T. (2016) · Journal of Clinical Sleep Medicine

Obstructive Sleep Apnea ResearchArtificial Intelligence in Healthcare

Cited by 99

Predictive Multiplicity in Probabilistic Classification

Watson-Daniels, J., Parkes, D. C., & Ustun, B. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 27

Supersparse Linear Integer Models for Interpretable Classification

Ustun, B., Tracà, S., & Rudin, C. (2013) · arXiv

Explainable Artificial Intelligence (XAI)Statistical Methods and Inference

Cited by 26